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Students
Tuition Fee
USD 175
Per course
Start Date
Medium of studying
Fully Online
Duration
1 months
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science | Software Development
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 175
Intakes
Program start dateApplication deadline
2023-12-01-
2024-01-01-
2024-02-01-
2024-03-01-
2024-04-01-
2024-05-01-
2024-06-01-
2024-07-01-
2024-08-01-
2024-09-01-
2024-10-01-
2024-12-01-
About Program

Program Overview


This 8-week online course explores the integration of robotics and IoT, covering topics such as IoT architecture, software and hardware design, and the value proposition of cloud and fog networks. Through interactive learning, assessments, and a final project, participants gain the knowledge and skills to pursue careers in robotics engineering, IoT development, and related fields.

Program Outline


Degree Overview:

This 8-week course, starting on June 1st, focuses on the interconnectivity of devices via the Internet to improve robotic manufacturing processes. It provides an overview of IoT architecture, ecosystems, and software and hardware product design. Additionally, the course covers topics like intelligent process automation (IPA), robotic process automation (RPA), and the five major technologies supporting it.


Key Objectives:

  • Understand the impact of IoT on robotic manufacturing processes.
  • Gain a comprehensive overview of IoT architecture and ecosystems.
  • Design software and hardware products for IoT applications.
  • Assess the value proposition of the IoT product cloud and fog networks.
  • Evaluate the application space of RPA and smart workflow for combining robotics and IoT value proposition.

Outline:


Evaluate the application space of Natural-Language Generation and Cognitive Agents to combine robotics and IoT value proposition:

Investigate the potential of natural language generation and cognitive agents for enhanced communication and decision-making within robotic and IoT systems.


Final Project:

Apply the acquired knowledge and skills to a real-world project involving the integration of robotics and IoT.


Assessments:

  • Regular quizzes and assignments throughout the modules.
  • Participation in discussions and collaborative activities.
  • Final project demonstrating the application of learned concepts.

Teaching:

  • Self-paced online learning platform with flexible access to course materials.
  • A mix of reading materials, videos, interactive elements, case studies, and assessments.

Careers:

  • Robotics Engineer
  • IoT Developer
  • Data Scientist
  • Automation Specialist
  • Systems Analyst

Other:

  • Course cost: $175
  • Course credits: 3
  • Estimated time commitment: 10-15 hours per week

Summary:

The Foundations of Robotics and IoT course provides a comprehensive introduction to the integration of robotics and IoT technologies. Through its diverse modules, assessments, and teaching methods, learners gain valuable knowledge and skills to succeed in this growing field.

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